3 Drug Stocks Poised To Surpass Estimates In Q2 Earnings

Here are three small drug/biotech stocks that yet to report and are poised to beat estimates in the second quarter according to our methodology.

Our first pick is Puma Biotechnology, Inc. (PBYI - Free Report). This small biotech has an Earnings ESP of +3.33% and a Zacks Rank #3. You can see the complete list of today’s Zacks #1 Rank  stocks here.

The Zacks Consensus Estimate for the second quarter is a loss of $2.10 per share. The company’s earnings surprise track record has been mixed, as it missed estimates in two of the trailing four quarters and met expectations in the other two. The company delivered an average positive surprise of 2.53% in the last four quarters.

This Los Angeles, CA-based company is likely to report results this month.

Our next choice is Alnylam Pharmaceuticals, Inc. (ALNY - Free Report) . Carrying a Zacks Rank #3, the stock has an Earnings ESP of +5.93%. The Zacks Consensus Estimate for the second quarter is pegged at a loss of $1.18 per share. This Cambridge, MA-based company has a mixed earnings surprise track record as it beat estimates in two of the past four quarters and missed in the other two. The average earnings surprise over the four trailing quarters is 3.69%.

Alnylam is scheduled to announce results on Aug 9 after market hours.

Impax Laboratories, Inc. (IPXL - Free Report) also looks poised to beat expectations in the second quarter. This Hayward, CA-based company carries a Zacks Rank #3 and has an Earnings ESP of +7.14%. The Zacks Consensus Estimate is pegged at 14 cents per share.

Impax is scheduled to report results on Aug 9, before market open.

Bottom Line  

Challenges in the form of competitive and pricing pressure will remain in the healthcare sector. However, a number of companies in the space have fared well. Picking some outperformers from the space, backed by a solid Zacks Rank and a positive Earnings ESP, could lead investors to gain this earnings season.

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Disclosure: Zacks.com contains statements and statistics that have been obtained from sources believed to be reliable but are not guaranteed as to accuracy or completeness. References to any specific ...

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